{"id":"W4313499926","doi":"10.3390/microorganisms11010133","title":"Distinct Microbiotas Are Associated with Different Production Lines in the Cutting Room of a Swine Slaughterhouse","year":2023,"lang":"en","type":"article","venue":"Microorganisms","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"F. Ménard (Canada); Université de Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Raw meat; Food spoilage; 16S ribosomal RNA; Food science; Meat packing industry; Development environment; Bacteria; Computer science; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002360718,0.0001277784,0.000166247,0.00001897974,0.0001184629,0.00003730411,0.0002162483,0.00006267595,0.00002239284],"category_scores_gemma":[0.00006715762,0.00003833677,0.00004144489,0.0007047403,0.00004105009,0.00003317853,0.00006243631,0.0001196726,0.000007616026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002301385,"about_ca_system_score_gemma":0.00000373915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004586457,"about_ca_topic_score_gemma":0.001153685,"domain_scores_codex":[0.9991627,0.00007124532,0.0002003939,0.0002220889,0.0001144596,0.000229057],"domain_scores_gemma":[0.9996542,0.00007063538,0.000140259,0.00006760537,0.00004667626,0.00002064285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001434183,0.0001766264,0.03761017,0.00000822657,0.00001494751,0.000006025681,0.0002759857,0.000002274001,0.9605481,0.000007621696,0.0004148877,0.000920785],"study_design_scores_gemma":[0.0001549151,0.0001857253,0.7898597,0.000105389,0.00001580282,0.000006739792,0.0006298012,0.00001397932,0.2085292,0.00007837165,0.0003025774,0.0001177292],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966683,0.00003901692,0.000001172053,0.002835796,0.00007541459,0.0002303852,0.0000607092,0.0000652973,0.00002388112],"genre_scores_gemma":[0.9994713,0.00001176026,0.00001217176,0.00005845136,0.00009202198,0.000006287834,0.0001587377,0.000002144074,0.0001871399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7522495,"threshold_uncertainty_score":0.1563328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713818819997971,"score_gpt":0.1994738072924391,"score_spread":0.1823356190924594,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}